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مدل‌سازی رابطۀ دبی-اشل در مقاطع مرکب با استفاده از روش برنامه‌ریزی بیان ژن چندمرحله-ای | ||
| اکوهیدرولوژی | ||
| مقاله 4، دوره 5، شماره 1، فروردین 1397، صفحه 37-48 اصل مقاله (524.13 K) | ||
| نوع مقاله: پژوهشی | ||
| شناسه دیجیتال (DOI): 10.22059/ije.2017.228922.497 | ||
| نویسندگان | ||
| عبدالرضا ظهیری* 1؛ محمد علی شعبانی2 | ||
| 1دانشیار گروه مهندسی آب، دانشکدۀ مهندسی آب و خاک، دانشگاه علوم کشاورزی و منابع طبیعی گرگان | ||
| 2دانش آموختۀ کارشناسی ارشد مهندسی سازه های آبی | ||
| چکیده | ||
| در شرایط وقوع سیل در رودخانه های آبرفتی با مقطع مرکب، به‌دلیل تبادل جریان بین مقطع اصلی و دشتهای سیلابی، محاسبۀ دبی سیلاب به کمک روشهای معمول با خطای زیادی همراه است. در این مقاله از روش جدیدی به نام برنامه‌ریزی بیان ژن چندمرحله ای برای محاسبۀ دبی کل جریان در مقاطع مرکب مستقیم استفاده شده است. برای مدل‌سازی از سه متغیر بدون بعد شامل عمق نسبی جریان، پارامتر کوهیرنس مقطع مرکب و دبی جریان نسبی محاسباتی به عنوان پارامترهای ورودی و از دبی جریان نسبی مشاهداتی به عنوان پارامتر خروجی استفاده شد. با استفاده از 402 دادۀ هیدرولیکی و هندسی از 31 مقطع مرکب آزمایشگاهی و صحرایی، روابط صریحی برای محاسبۀ دبی کل جریان در مقاطع مرکب استخراج شد. میانگین خطای نسبی این روش در مراحل واسنجی و صحتسنجی بهترتیب حدود 2/10 و 6/11 درصد بهدست آمد. این میزان خطا نسبت به خطای معادلۀ مانینگ (3/19 درصد)، دقت بسیار بهتر روش برنامه‌ریزی بیان ژن چندمرحلهای را نشان میدهد. بنابراین، کاربرد این روش در محاسبۀ دبی سیلاب رودخانههای با مقطع مرکب توصیه میشود. همچنین، میتوان با استفاده از تلفیق این ایده با محاسبات پروفیل سطح آب رودخانهها و نیز روندیابی سیل، دقت محاسبات طراحی خاکریزهای کنترل سیل را افزایش داد. | ||
| کلیدواژه‌ها | ||
| الگوریتم برنامه‌ریزی بیان ژن؛ بهینهسازی؛ دبی جریان؛ رودخانههای سیلابی؛ مقطع لبریز | ||
| عنوان مقاله [English] | ||
| Modeling of stage-discharge relationship in compound channels using multi-stage gene expression programming | ||
| نویسندگان [English] | ||
| Abdolreza Zahiri1؛ Mohammad Ali Shabani2 | ||
| 2North Khorasan Water Regional Co. | ||
| چکیده [English] | ||
| In flood conditions at the alluvial rivers with compound sections, due to momentum exchange between main channel and floodplains, flow discharge prediction by traditional methods is very erroneous. In this paper, a new method known as multi-stage gene expression programming has been used for computation of flow discharge in straight compound channels. For modeling, three dimensionless parameters of relative depth, coherence and relative calculated flow discharge, and one parameter of relative measured flow discharge were selected as inputs and output, respectively. Using 402 stage-discharge dataset from 31 laboratory and field compound channels, explicit relationships were developed for flow discharge prediction. The mean absolute errors of this method were obtained as 10.2% and 11.6%, respectively for training and testing phases. Hence compared with the Manning's formula (with mean absolute error of 19.3%), the proposed method is quit outperform. Hence, application of this method is recommended for flood flow discharge in rivers having compound channel forms. Also, by incorporating this new idea with the computation procedures of the river water surface profiles and flood routing, the design of flood alleviation schemes will be improved. | ||
| کلیدواژه‌ها [English] | ||
| Bankfull channel, Flow discharge, Flooded rivers, Gene expression programming algorithm, Optimization | ||
| مراجع | ||
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